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HU

HUUMO

via LinkedIn

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Future Systems Engineer (AI, Neuro, and DePIN Infrastructure)

Anywhere
full-time
Posted 10/10/2025
Verified Source
Key Skills:
Python
C++
Rust
Go
IoT
Distributed Systems
DePIN
Sensor Systems
Machine Learning Integration
Neuroengineering
Edge Computing
AI Inference Hardware

Compensation

Salary Range

$90K - 140K a year

Responsibilities

Develop and deploy advanced systems integrating software and hardware for neurointerfaces, robotics, or decentralized physical infrastructure, including prototyping AI-powered firmware and collaborating on energy and data projects.

Requirements

5+ years in systems, robotics, or embedded development with strong programming skills in Python, C++, Rust, or Go, plus knowledge of IoT, distributed systems, and sensor or machine-learning integration.

Full Description

Location: California (Remote) — Only candidates currently based in California will be considered. Please do NOT apply if you are not a CA resident Experience Level: 5–12 years About the Role As technology converges — from neural engineering to decentralized physical infrastructure (DePIN) — HUUMO is helping assemble the builders who can connect the dots. The Future Systems Engineer is a next-generation systems architect — part AI developer, part robotics engineer, part distributed-network thinker. What You’ll Do • Develop and deploy advanced systems across neurointerfaces, robotics, or DePIN frameworks. • Design software–hardware integrations enabling machine-to-machine communication. • Prototype and maintain AI-powered firmware or decentralized computing architectures. • Collaborate with cross-disciplinary teams on cutting-edge energy, mobility, or data projects. • Implement performance testing, predictive analytics, and automated diagnostics for next-gen hardware. What We’re Looking For • 5+ years of experience in systems, robotics, or embedded development. • Strong background in Python, C++, Rust, or Go. • Knowledge of IoT, DePIN, distributed systems, or energy technology. • Familiarity with sensor systems, drones, or machine-learning integration. • High adaptability and a passion for merging physical and digital systems. Preferred • Experience in neuroengineering, quantum computing, or decentralized storage. • Familiarity with edge computing and AI inference hardware.

This job posting was last updated on 10/13/2025

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